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[Applications of Artificial Intelligence in Pancreatic Cystic Lesion Imaging].
Deng, Wen-Yi; Xie, Fei-Yang; Xue, Hua-Dan.
Affiliation
  • Deng WY; Department of Radiology,PUMC Hospital,Translational Medical Center,CAMS and PUMC,Beijing 100730,China.
  • Xie FY; Department of Radiology,PUMC Hospital,Translational Medical Center,CAMS and PUMC,Beijing 100730,China.
  • Xue HD; Department of Radiology,PUMC Hospital,Translational Medical Center,CAMS and PUMC,Beijing 100730,China.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao ; 46(2): 275-280, 2024 Apr.
Article in Zh | MEDLINE | ID: mdl-38686726
ABSTRACT
As the detection rate of pancreatic cystic lesions(PCL)increases,artificial intelligence(AI)has made breakthroughs in the imaging workflow of PCL,including image post-processing,lesion detection,segmentation,diagnosis and differential diagnosis.AI-based image post-processing can optimize the quality of medical images and AI-assisted models for lesion detection,segmentation,diagnosis and differential diagnosis significantly enhance the work efficiency of radiologists.This article reviews the application progress of AI in PCL imaging and provides prospects for future research directions.
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Full text: 1 Database: MEDLINE Main subject: Pancreatic Cyst / Artificial Intelligence Limits: Humans Language: Zh Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Pancreatic Cyst / Artificial Intelligence Limits: Humans Language: Zh Year: 2024 Type: Article